data-transform
Transform, clean, reshape, and preprocess data using pandas and numpy. Works with ANY LLM provider (GPT, Gemini, Claude, etc.).
npx skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill data-transform --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Data Transformation (Universal) ## Overview This skill enables you to perform comprehensive data transformations including cleaning, normalization, reshaping, filtering, and feature engineering. Unlike cloud-hosted solutions, this skill uses standard Python data manipulation libraries (**pandas**, **numpy**, **sklearn**) and executes **locally** in your environment, making it compatible with **ALL LLM providers** including GPT, Gemini, Claude, DeepSeek, and Qwen. ## When to Use This Skill - Clean and preprocess raw data - Normalize or scale numeric features - Reshape data between wide and long formats - Handle missing values - Filter and subset datasets - Merge multiple datasets - Create new features from existing ones - Convert data types and formats ## How to Use ### Step 1: Import Required Libraries ```python import pandas as pd import numpy as np from sklearn.preprocessing import StandardScaler, MinMaxScaler, RobustScaler from sklearn.preprocessing import LabelEncoder, OneHotEncoder import warnings warnings.filterwarnings('ignore') ``` ### Step 2: Data Cleaning ```python # Load data df = pd.read_csv('data.csv') # Check for missing values print("Missing values per column:") pr
- Overview
- When to Use This Skill
- How to Use
- Step 1: Import Required Libraries
- Step 2: Data Cleaning
- Step 3: Normalization and Scaling
- Step 4: Data Reshaping
- Step 5: Filtering and Subsetting
- Step 6: Merging and Joining Datasets
- Advanced Features
- Handling Missing Values
- Feature Engineering
- Grouping and Aggregation
- Data Type Conversions
What does the data-transform skill do?
Transform, clean, reshape, and preprocess data using pandas and numpy. Works with ANY LLM provider (GPT, Gemini, Claude, etc.).
How do I install it?
Run `npx skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill data-transform --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From FreedomIntelligence/OpenClaw-Medical-Skills, a repository with 2,909 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.